package com.guli.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.guli.common.to.es.SkuEsModel;
import com.guli.common.utils.R;
import com.guli.gulimall.search.config.ElasticSearchConfig;
import com.guli.gulimall.search.constant.EsConstant;
import com.guli.gulimall.search.feign.ProductFeignService;
import com.guli.gulimall.search.service.MallSearchService;
import com.guli.gulimall.search.vo.AttrResponseVo;
import com.guli.gulimall.search.vo.BrandVo;
import com.guli.gulimall.search.vo.SearchParam;
import com.guli.gulimall.search.vo.SearchResult;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

@Slf4j
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    @Override
    public SearchResult search(SearchParam searchParam) {
        SearchResult result = null;
        //1.动态构建出查询需要的DSL语句

        //1.创建检索请求
        SearchRequest searchRequest = buildSearchRequest(searchParam);

        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, ElasticSearchConfig.COMMON_OPTIONS);
            //3.分析响应数据，封装成我们需要的格式
            result = buildSearchResult(response, searchParam);

        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 根据es查询结果构建响应数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam searchParam) {
        SearchResult searchResult = new SearchResult();
        /**
         * 1. 封装所有查询到的商品
         */
        //es命中的结果
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if(!StringUtils.isEmpty(searchParam.getKeyword())){
                    //标题高亮设置
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        searchResult.setProducts(esModels);
        /**
         * 2. 当前所有商品所涉及到的所有属性信息-- 从聚合信息中抽取
         */
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1. 得到属性ID
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);
            //2. 得到属性名称
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);
            //3. 得到属性值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        searchResult.setAttrs(attrVos);
        /**
         * 3. 当前所有商品所涉及到的所有品牌信息-- 从聚合信息中抽取
         */
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        List<? extends Terms.Bucket> brand_aggBuckets = brand_agg.getBuckets();
        for (Terms.Bucket bucket : brand_aggBuckets) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1. 得到品牌的ID
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);
            //2. 得到品牌的名字
            ParsedStringTerms brand_name_agg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brand_name_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);
            //3. 得到品牌的图标
            ParsedStringTerms brand_img_agg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brand_img_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }
        searchResult.setBrands(brandVos);
        /**
         * 4.当前所有商品所涉及到的所有分类信息-- 从聚合信息中抽取
         */
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatelogVo> catelogVos = new ArrayList<>();
        List<? extends Terms.Bucket> catalogBuckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : catalogBuckets) {
            SearchResult.CatelogVo catelogVo = new SearchResult.CatelogVo();
            //1.得到分类ID
            long catalofId = bucket.getKeyAsNumber().longValue();
            catelogVo.setCatalogId(catalofId);
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            //2.得到分类名字
            String catalogName = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catelogVo.setCatalogName(catalogName);
            catelogVos.add(catelogVo);
        }
        searchResult.setCatelogs(catelogVos);
        /**
         * 5.分页信息
         */
        //当前页码
        searchResult.setPageNum(searchParam.getPageNum());
        //总记录数
        long total = hits.getTotalHits().value;
        searchResult.setTotal(total);
        //总页数  计算
        int totalPages = (int) total / EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);
        searchResult.setTotalPages(totalPages);
        //导航页
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        searchResult.setPageNavs(pageNavs);

        // 6.构建面包屑导航功能
        if(searchParam.getAttrs() != null){
            List<SearchResult.NavVo> navVos = searchParam.getAttrs().stream().map(attr -> {
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.info(Long.parseLong(s[0]));
                // 将已选择的请求参数添加进去 前端页面进行排除
                searchResult.getAttrIds().add(Long.parseLong(s[0]));
                if(r.getCode() == 0){
                    AttrResponseVo attrResponseVo = JSON.parseObject(JSON.toJSONString(r.get("attr")), new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(attrResponseVo.getAttrName());
                }else{
                    // 失败了就拿id作为名字
                    navVo.setNavName(s[0]);
                }
                // 拿到所有查询条件 替换查询条件
                String replace = replaceQueryString(searchParam, attr, "attrs");
                navVo.setLink("http://search.gulimall.com/list.html" + replace);
                return navVo;
            }).collect(Collectors.toList());
            searchResult.setNavs(navVos);
        }

        //品牌，分类的 面包屑
        if(searchParam.getBrandId()!=null && searchParam.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = searchResult.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //todo 远程查询所有品牌
            R r = productFeignService.brandsInfo(searchParam.getBrandId());
            if(r.getCode() == 0){
                List<BrandVo> brands = r.getData("brand",new TypeReference<List<BrandVo>>(){
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brand : brands) {
                    buffer.append(brand.getName() + ";");
                    replace = replaceQueryString(searchParam,brand.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gulimall.com/list.html" + replace);
            }
            navs.add(navVo);
        }
        return searchResult;
    }

    /**
     * 替换字符
     * key ：需要替换的key
     */
    private String replaceQueryString(SearchParam searchParam, String value, String key) {
        String encode = null;
        String queryString = "?" + searchParam.get_queryString();
        try {
            encode = URLEncoder.encode(value,"UTF-8");
            // 浏览器对空格的编码和java的不一样
            encode = encode.replace("+","%20");
            encode = encode.replace("%28", "(").replace("%29",")");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        // ?attrs=xxxx&aaa=xxxx
        // &attrs=xxxx&aaaa=xxxx
        // &attrs=xxxx
        // ?attrs=xxxx
        String replace = "";
        if( queryString.indexOf("?" + key + "=" + encode + "&") != -1){
            replace = queryString.replace(key + "=" + encode + "&", "");
        }else if(queryString.indexOf("?" + key + "=" + encode) != -1){
            replace = queryString.replace("?" + key + "=" + encode, "");
        }else if(queryString.indexOf("&" + key + "=" + encode) != -1){
            replace = queryString.replace("&" + key + "=" + encode, "");
        }else{
            replace = queryString.replace("&" + key + "=" + encode, "");
        }
        return replace;
    }

    /**
     * 准备检索请求
     * #模糊匹配、过滤(按照属性，分类，品牌，价格区间，库存)、排序、分页、高亮、聚合分析
     *
     * @return SearchRequest
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        //开始构建
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //查询：#模糊匹配、过滤(按照属性，分类，品牌，价格区间，库存)
        /**
         * 1.构建bool-query
         */
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        //1.1 bool-must模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQueryBuilder.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        /**
         * 1.2 bool-filter 条件过滤
         */
        //按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQueryBuilder.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //按照品牌ID查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //按照所有指定的属性查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            /**
             * attrs 属性:
             *      * attrs=1_其他:安卓  1号属性等于其他或者等于安卓的商品
             *      * attrs=2_5寸:6寸    2号属性等于5寸或者等于6寸的商品
             */
            for (String attr : param.getAttrs()) {
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                //attrs=2_5寸:6寸
                String[] s = attr.split("_");
                String attrId = s[0];//检索的属性ID
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每次循环都要生成一个filter->nestedQuery
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQueryBuilder.filter(nestedQuery);
            }
        }
        //按照是否有库存查询
        if(param.getHasStock() != null){
            boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //按照价格区间查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //1_500/_500/500_
            /**
             *  "range": {
             *             "skuPrice": {
             *               "gte": 0,
             *               "lte": 6000
             *             }
             *           }
             */
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQueryBuilder.filter(rangeQuery);
        }

        //把所有条件都在这封装
        searchSourceBuilder.query(boolQueryBuilder);
        /**
         * 2. 排序、分页、高亮
         */
        //2.1 排序
        if (!StringUtils.isEmpty(param.getSort())) {
            /**
             * sort=saleCount_asc/desc  根据销量排序
             *      * sort=skuPrice_asc/desc   根据价格排序
             *      * sort=hotScore_asc/desc   根据热度分排序
             */
            String[] s = param.getSort().split("_");
            String sortName = s[0];
//            SortOrder sortOrder = s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            SortOrder sortOrder = SortOrder.fromString(s[1]);
            searchSourceBuilder.sort(sortName, sortOrder);
        }
        //2.2 分页 pagesize:5
        //pageNum:1 from:0 size:5 [0,1,2,3,4]
        //pageNum:2 from:5 size:10 [5,6,7,8,9]
        //from = (pageNum-1)*pageSize
        searchSourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //2.3 高亮
        //有模糊匹配才做高亮显示
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");
            searchSourceBuilder.highlighter(highlightBuilder);
        }
        /**
         * 3.聚合分析
         */
        //3.1 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);//品牌ID，聚合50个
        //品牌名称子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        //品牌图标子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        //todo 聚合品牌信息
        searchSourceBuilder.aggregation(brand_agg);

        //3.2 三级分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        //三级分类名称 子聚合
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        //todo 聚合三级分类信息
        searchSourceBuilder.aggregation(catalog_agg);

        //3.3 属性聚合 嵌入式聚合NestedAggregationBuilder
        NestedAggregationBuilder nested = AggregationBuilders.nested("attr_agg", "attrs");
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId").size(100);
        //属性名称 子聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //属性值 子聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(1));

        nested.subAggregation(attr_id_agg);
        //todo 聚合属性信息
        searchSourceBuilder.aggregation(nested);

        String s = searchSourceBuilder.toString();
        System.out.println("构建的DSL:" + s);

        //创建检索请求
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchSourceBuilder);  //users 索引
        return searchRequest;
    }
}
